Data Engineer Intern: Build Scalable Data Pipelines

FinTech Collective, LLC; Kuala Lumpur; On-site; MYR 11,000 - 20,000; Full time

Job summary

Gen is seeking a Data Engineer Intern for our Kuala Lumpur office. This internship is open to Malaysian nationals and requires a commitment of 6 months.

You will join the data engineering team to build scalable data pipelines, work with modern tools such as Apache Airflow and Spark, and collaborate with data scientists and engineers on diverse projects within MoneyLion's platform. As part of the role, you will gain hands-on experience with cloud technologies (AWS), ETL processes, and data

Qualifications

• Pursuing a degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field.
• Familiarity with Python and SQL.
• Understanding of database concepts, ETL pipelines and data engineering principles.
• Exposure to cloud platforms (preferably AWS) or distributed computing (e.g., Spark) is a plus.

Responsibilities

• Assist in building and maintaining scalable data pipelines for data ingestion, transformation, and delivery.
• Collaborate with data scientists, analysts, and software engineers to deliver high-quality datasets.
• Help maintain data platforms and support data governance by managing data access.
• Contribute to documentation and best practices for data engineering workflows.
• Learn and work with tools like Apache Airflow, Spark, AWS and SQL/NoSQL databases.

Skills

Python

SQL

Data engineering

AWS

Apache Airflow

Apache Spark

NoSQL databases

Education

Pursuing degree in Computer Science/Data Science/Software Engineering/Information Systems

Tools

Apache Airflow

Apache Spark

AWS

SQL/NoSQL databases

Job description

Gen is seeking a Data Engineer Intern for our Kuala Lumpur office. This internship is open to Malaysian nationals and requires a commitment of 6 months.

You will join the data engineering team to build scalable data pipelines, work with modern tools such as Apache Airflow and Spark, and collaborate with data scientists and engineers on diverse projects within MoneyLion's platform. As part of the role, you will gain hands-on experience with cloud technologies (AWS), ETL processes, and data